Literature DB >> 20701440

Emerging biomarkers in breast cancer care.

Rudolf Napieralski1, Nils Brünner, Karin Mengele, Manfred Schmitt.   

Abstract

Currently, decision-making for breast cancer treatment in the clinical setting is mainly based on clinical data, histomorphological features of the tumor tissue and a few cancer biomarkers such as steroid hormone receptor status (estrogen and progesterone receptors) and oncoprotein HER2 status. Although various therapeutic options were introduced into the clinic in recent decades, with the objective of improving surgery, radiotherapy, biochemotherapy and chemotherapy, varying response of individual patients to certain types of therapy and therapy resistance is still a challenge in breast cancer care. Therefore, since breast cancer treatment should be based on individual features of the patient and her tumor, tailored therapy should be an option by integrating cancer biomarkers to define patients at risk and to reliably predict their course of the disease and/or response to cancer therapy. Recently, candidate-marker approaches and genome-wide transcriptomic and epigenetic screening of different breast cancer tissues and bodily fluids resulted in new promising biomarker panels, allowing breast cancer prognosis, prediction of therapy response and monitoring of therapy efficacy. These biomarkers are now subject of validation in prospective clinical trials.

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Year:  2010        PMID: 20701440     DOI: 10.2217/bmm.10.73

Source DB:  PubMed          Journal:  Biomark Med        ISSN: 1752-0363            Impact factor:   2.851


  5 in total

1.  Evaluation of the progesterone receptor status in breast cancer using three different antibodies: a comparison by Allred score system.

Authors:  Renata Dalmaschio Daltoé; Klesia Pirola Madeira; Alex Assis de Carvalho; Lucas Cunha Dias de Rezende; Ian Victor Silva; Leticia Batista Azevedo Rangel
Journal:  Int J Clin Exp Pathol       Date:  2013-12-15

2.  Differential expression of breast cancer-associated genes between stage- and age-matched tumor specimens from African- and Caucasian-American Women diagnosed with breast cancer.

Authors:  Jessica M Grunda; Adam D Steg; Qinghua He; Mark R Steciuk; Suzanne Byan-Parker; Martin R Johnson; William E Grizzle
Journal:  BMC Res Notes       Date:  2012-05-22

3.  Prospective evaluation of prognostic factors uPA/PAI-1 in node-negative breast cancer: phase III NNBC3-Europe trial (AGO, GBG, EORTC-PBG) comparing 6×FEC versus 3×FEC/3×Docetaxel.

Authors:  Eva J Kantelhardt; Martina Vetter; Marcus Schmidt; Corinne Veyret; Doris Augustin; Volker Hanf; Christoph Meisner; Daniela Paepke; Manfred Schmitt; Fred Sweep; Gunter von Minckwitz; Pierre-Marie Martin; Fritz Jaenicke; Christoph Thomssen; Nadia Harbeck
Journal:  BMC Cancer       Date:  2011-04-16       Impact factor: 4.430

4.  Clinical performance of an analytically validated assay in comparison to microarray technology to assess PITX2 DNA-methylation in breast cancer.

Authors:  Gabriele Schricker; Rudolf Napieralski; Aurelia Noske; Elodie Piednoir; Olivia Manner; Elisabeth Schüren; Jürgen Lauber; Jonathan Perkins; Viktor Magdolen; Manfred Schmitt; Kurt Ulm; Wilko Weichert; Marion Kiechle; John W M Martens; Olaf G Wilhelm
Journal:  Sci Rep       Date:  2018-11-15       Impact factor: 4.379

5.  Genomic analysis of the ecdysone steroid signal at metamorphosis onset using ecdysoneless and EcRnullDrosophila melanogaster mutants.

Authors:  Melissa B Davis; Tongruei Li
Journal:  Genes Genomics       Date:  2013-02-05       Impact factor: 1.839

  5 in total

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